#adversarial-attacks

#adversarial-attacks

Using a method called "Chain-of-Thought Hijacking," the researchers found that even major commercial AI models can be fooled with an alarmingly high success rate, more than 80% in some tests. The new mode of attack essentially exploits the model's reasoning steps, or chain-of-thought, to hide harmful commands, effectively tricking the AI into ignoring its built-in safeguards. These attacks can allow the AI model to skip over its safety guardrails and potentially

A host of leading open weight AI models contain serious security vulnerabilities, according to researchers at Cisco. In a new, researchers found these models, which are publicly available and can be downloaded and modified by users based on individual needs, displayed "profound susceptibility to adversarial manipulation" techniques. Cisco evaluated models by a range of firms including: Alibaba (Qwen3-32B) DeepSeek (v3.1) Google (Gemma 3-1B-IT) Meta (Llama 3.3-70B-Instruct) Microsoft (Phi-4) OpenAI (GPT-OSS-20b) Mistral (Large-2).